# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""loss function definition"""

from mindspore import nn
from mindspore import ops
from mindspore.nn.loss.loss import LossBase

class total_loss(LossBase):
    """Loss function"""

    def __init__(self):
        """loss function definition"""
        super(total_loss, self).__init__()
        self.bceloss = nn.BCELoss(reduction='mean')
        self.reshape = ops.Reshape()
        self.cat = ops.Concat(axis=1)
        self.squeeze = ops.Squeeze()

    def construct(self, generated, target):
        """loss function compute"""
        return self.bceloss(generated, self.cat((target, target, target, target, target, target, target))) * 7
